Background: After a disaster, all victims have to be rapidly and accurately identified for locating, tracking and regulating them. The purpose of this study was to summarize people's experiences that how the patients were tracked in past earthquake disasters in Iran.
Methods: A qualitative study was carried out in 2015. This was an interview-based qualitative study using content analysis. The interviewed people included physicians, nurses, emergency medical technicians, disaster managers, Red Crescent Society' first responders and managers. Participants were identified using a snow ball sampling method. Interviews were audiotaped, transcribed, coded, and entered into MAXQDA (version 10) for coding and content analysis.
Results: Three main themes and seven categories including content (recoding data), function (identification of victims, identification of the deceased, informing the patients' relatives, patients' evacuation and transfer, and statistical reporting), technology (the state of using technology) were identified that showed the patient tracking status in past earthquakes in Iran.
Conclusion: Participants believed that to identify and register the data related to patients or the dead, no consistent action plan was available. So developing a consistent patient tracking system could overcome this issue and improve patient safety.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409241 | PMC |
http://dx.doi.org/10.5847/wjem.j.1920-8642.2017.02.002 | DOI Listing |
J Health Organ Manag
January 2025
Symbiosis Centre for Management Studies, Symbiosis International (Deemed University), Noida, India.
Purpose: The healthcare ecosystem continues to evolve with new technological developments with the support of its stakeholders. The technology-driven and patient-centric Healthcare 5.0 (H5.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Software Engineering Department, LUT University, Lahti, Finland.
Introduction: Neurodegenerative diseases, including Parkinson's, Alzheimer's, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.
Methods: We propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data.
Actas Esp Psiquiatr
January 2025
Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal; Department of Psychiatry, Coimbra Hospital and University Centre, 3004-561 Coimbra, Portugal.
Background: The increasingly fast development of mobile health technologies holds significant value for individuals dealing with mental health conditions. However, inadequate consideration of patients' preferences and expectations undermines real-world outcomes, including sustained adherence. Driven by the belief that specific characteristics, such as youth and higher education, of individuals with obsessive-compulsive disorder make them suitable for digital adoption, we investigated mHealth-related desirability factors within this patient group.
View Article and Find Full Text PDFThe use of virtual reality (VR) in medicine is rapidly expanding, particularly in areas like pain management, surgical training, and mental health therapy. This study examines the implementation and effects of the Cold River VR application, a fully immersive tool designed to help manage pain and anxiety during dressing changes for burn trauma patients in a Czech hospital. The Cold River application immerses patients in a peaceful, interactive virtual environment, utilizing eye-tracking technology to engage them without the need for physical controllers, which could interfere with wound care.
View Article and Find Full Text PDFSeizure
January 2025
Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA.
Purpose: Compare the identification of patients with established status epilepticus (ESE) and refractory status epilepticus (RSE) in electronic health records (EHR) using human review versus natural language processing (NLP) assisted review.
Methods: We reviewed EHRs of patients aged 1 month to 21 years from Boston Children's Hospital (BCH). We included all patients with convulsive ESE or RSE during admission.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!